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cc-sdd

gotalab

cc-sdd provides agent skills for multiple AI coding agents to enable spec-driven development and long-running autonomous implementation of software projects.

A collection of modular skills for AI agents to improve engineering rigor, testing, and architectural planning.

An Agent Skill that helps Codex or Claude Code design, audit, refactor and explain agentic harnesses, and draft MVP blueprints for them.

A harness around Claude Code and Codex adding spec-driven development, TDD, persistent memory, quality gates, hooks and end-to-end verification.

A coding-agent skill that improves reliability in agentic coding tasks by reviewing, fixing, and rechecking agent work to cut failures.

Agent skills and an AGENTS.md template for worktree isolation, service-layer structure, evidence-based testing and before/after screenshots in PRs.

A collection of productivity skills to manage task forests, session handoffs, and user profiles for AI agents.

A lifelong learning system for agents that extracts, evolves, and manages reusable skills from conversation history and documents.

Allows your coding agent to self-correct and adhere to project-specific, non-linter rules by flagging breaches with AI and prompting fixes.

A self-learning AI system for Claude Code that enables automatic skill improvement by remembering user corrections and avoiding past mistakes.

Implements a governance framework for AI coding agents, enforcing a gated workflow and verifying completion evidence before shipping code.

A Claude Code skill that enables any Claude model to exhibit Fable 5-grade work discipline through plan-gating, self-verification, and sub-agent routing mechanisms.

This plugin for OpenAI Codex provides development discipline, structured workflows (PABCD), and multi-model subagents, offering 13 specialized dev skills and orchestration for a disciplined development environment.

This skill and subagent pack helps AI coding agents set up and manage guardrailed agentic loops, preventing infinite runs and token waste.

Provides a governance framework for AI-assisted software development, orchestrating development cycles, defining phases, and ensuring security audits with a layman mode.